Master thesis project proposal: Building a sentiment lexicon for Swedish

Building a sentiment lexicon for Swedish

Goal: semi-automatic construction of a sentiment lexicon for Swedish.

Background:
Lexicon-based sentiment analysis methods require a good lexicon that
maps words (e.g. "wonderful") to some sentiment value
(e.g. "strong positive"). For English, a number of
sentiment lexicons are available, for instance the
MPQA
lexicon
and SentiWordNet. For
Swedish on the other hand, there is no resource of this kind.

Project description:
In the project, the students would compile the available lexicon
resources that exist for Swedish
(e.g. SALDO) and
see whether they can be used to bootstrap a sentiment lexicon.
Possibly, corpus-based approaches could also be used.

Requirements:
The project requires a background in NLP and knowledge of a
programming language such as Python.